Text Classification
Transformers.js
ONNX
Transformers
bert
emotion
classification
emojis
emotions
v1.0
sentiment-analysis
nlp
chatbot
social-media
mental-health
short-text
emotion-detection
expressive
ai
machine-learning
inference
edge-ai
smart-replies
tone-analysis
text-embeddings-inference
Instructions to use jdp8/multilingual_go_emotions-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use jdp8/multilingual_go_emotions-ONNX with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-classification', 'jdp8/multilingual_go_emotions-ONNX'); - Transformers
How to use jdp8/multilingual_go_emotions-ONNX with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jdp8/multilingual_go_emotions-ONNX")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jdp8/multilingual_go_emotions-ONNX") model = AutoModelForSequenceClassification.from_pretrained("jdp8/multilingual_go_emotions-ONNX", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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